Initial configuration commit

2023-10-24 22:54:55 -04:00 · 2023-10-24 22:54:55 -04:00 · 31c8abea59
commit 31c8abea59
266 changed files with 780274 additions and 0 deletions
--- a/typings/numpy/lib/twodim_base.pyi
+++ b/typings/numpy/lib/twodim_base.pyi
@ -0,0 +1,133 @@
+"""
+This type stub file was generated by pyright.
+"""
+
+from collections.abc import Callable, Sequence
+from typing import Any, TypeVar, Union, overload
+from numpy import _OrderCF, bool_, complexfloating, datetime64, float64, floating, generic, int_, intp, number, object_, signedinteger, timedelta64
+from numpy._typing import ArrayLike, DTypeLike, NDArray, _ArrayLike, _ArrayLikeComplex_co, _ArrayLikeFloat_co, _ArrayLikeInt_co, _ArrayLikeObject_co, _DTypeLike, _SupportsArrayFunc
+
+_T = TypeVar("_T")
+_SCT = TypeVar("_SCT", bound=generic)
+_MaskFunc = Callable[[NDArray[int_], _T], NDArray[Union[number[Any], bool_, timedelta64, datetime64, object_]],]
+__all__: list[str]
+@overload
+def fliplr(m: _ArrayLike[_SCT]) -> NDArray[_SCT]:
+    ...
+
+@overload
+def fliplr(m: ArrayLike) -> NDArray[Any]:
+    ...
+
+@overload
+def flipud(m: _ArrayLike[_SCT]) -> NDArray[_SCT]:
+    ...
+
+@overload
+def flipud(m: ArrayLike) -> NDArray[Any]:
+    ...
+
+@overload
+def eye(N: int, M: None | int = ..., k: int = ..., dtype: None = ..., order: _OrderCF = ..., *, like: None | _SupportsArrayFunc = ...) -> NDArray[float64]:
+    ...
+
+@overload
+def eye(N: int, M: None | int = ..., k: int = ..., dtype: _DTypeLike[_SCT] = ..., order: _OrderCF = ..., *, like: None | _SupportsArrayFunc = ...) -> NDArray[_SCT]:
+    ...
+
+@overload
+def eye(N: int, M: None | int = ..., k: int = ..., dtype: DTypeLike = ..., order: _OrderCF = ..., *, like: None | _SupportsArrayFunc = ...) -> NDArray[Any]:
+    ...
+
+@overload
+def diag(v: _ArrayLike[_SCT], k: int = ...) -> NDArray[_SCT]:
+    ...
+
+@overload
+def diag(v: ArrayLike, k: int = ...) -> NDArray[Any]:
+    ...
+
+@overload
+def diagflat(v: _ArrayLike[_SCT], k: int = ...) -> NDArray[_SCT]:
+    ...
+
+@overload
+def diagflat(v: ArrayLike, k: int = ...) -> NDArray[Any]:
+    ...
+
+@overload
+def tri(N: int, M: None | int = ..., k: int = ..., dtype: None = ..., *, like: None | _SupportsArrayFunc = ...) -> NDArray[float64]:
+    ...
+
+@overload
+def tri(N: int, M: None | int = ..., k: int = ..., dtype: _DTypeLike[_SCT] = ..., *, like: None | _SupportsArrayFunc = ...) -> NDArray[_SCT]:
+    ...
+
+@overload
+def tri(N: int, M: None | int = ..., k: int = ..., dtype: DTypeLike = ..., *, like: None | _SupportsArrayFunc = ...) -> NDArray[Any]:
+    ...
+
+@overload
+def tril(v: _ArrayLike[_SCT], k: int = ...) -> NDArray[_SCT]:
+    ...
+
+@overload
+def tril(v: ArrayLike, k: int = ...) -> NDArray[Any]:
+    ...
+
+@overload
+def triu(v: _ArrayLike[_SCT], k: int = ...) -> NDArray[_SCT]:
+    ...
+
+@overload
+def triu(v: ArrayLike, k: int = ...) -> NDArray[Any]:
+    ...
+
+@overload
+def vander(x: _ArrayLikeInt_co, N: None | int = ..., increasing: bool = ...) -> NDArray[signedinteger[Any]]:
+    ...
+
+@overload
+def vander(x: _ArrayLikeFloat_co, N: None | int = ..., increasing: bool = ...) -> NDArray[floating[Any]]:
+    ...
+
+@overload
+def vander(x: _ArrayLikeComplex_co, N: None | int = ..., increasing: bool = ...) -> NDArray[complexfloating[Any, Any]]:
+    ...
+
+@overload
+def vander(x: _ArrayLikeObject_co, N: None | int = ..., increasing: bool = ...) -> NDArray[object_]:
+    ...
+
+@overload
+def histogram2d(x: _ArrayLikeFloat_co, y: _ArrayLikeFloat_co, bins: int | Sequence[int] = ..., range: None | _ArrayLikeFloat_co = ..., density: None | bool = ..., weights: None | _ArrayLikeFloat_co = ...) -> tuple[NDArray[float64], NDArray[floating[Any]], NDArray[floating[Any]],]:
+    ...
+
+@overload
+def histogram2d(x: _ArrayLikeComplex_co, y: _ArrayLikeComplex_co, bins: int | Sequence[int] = ..., range: None | _ArrayLikeFloat_co = ..., density: None | bool = ..., weights: None | _ArrayLikeFloat_co = ...) -> tuple[NDArray[float64], NDArray[complexfloating[Any, Any]], NDArray[complexfloating[Any, Any]],]:
+    ...
+
+@overload
+def histogram2d(x: _ArrayLikeComplex_co, y: _ArrayLikeComplex_co, bins: Sequence[_ArrayLikeInt_co], range: None | _ArrayLikeFloat_co = ..., density: None | bool = ..., weights: None | _ArrayLikeFloat_co = ...) -> tuple[NDArray[float64], NDArray[Any], NDArray[Any],]:
+    ...
+
+@overload
+def mask_indices(n: int, mask_func: _MaskFunc[int], k: int = ...) -> tuple[NDArray[intp], NDArray[intp]]:
+    ...
+
+@overload
+def mask_indices(n: int, mask_func: _MaskFunc[_T], k: _T) -> tuple[NDArray[intp], NDArray[intp]]:
+    ...
+
+def tril_indices(n: int, k: int = ..., m: None | int = ...) -> tuple[NDArray[int_], NDArray[int_]]:
+    ...
+
+def tril_indices_from(arr: NDArray[Any], k: int = ...) -> tuple[NDArray[int_], NDArray[int_]]:
+    ...
+
+def triu_indices(n: int, k: int = ..., m: None | int = ...) -> tuple[NDArray[int_], NDArray[int_]]:
+    ...
+
+def triu_indices_from(arr: NDArray[Any], k: int = ...) -> tuple[NDArray[int_], NDArray[int_]]:
+    ...
+